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» Vector Quantizing Feature Space with a Regular Lattice
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CVPR
2010
IEEE
14 years 2 days ago
"Lattice Cut" - Constructing superpixels using layer constraints
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for featur...
Alastair Moore, Simon Prince
ICANN
2007
Springer
14 years 1 months ago
A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces
In the field of computer vision feature matching in high dimensional feature spaces is a commonly used technique for object recognition. One major problem is to find an adequate s...
Jochen Kerdels, Gabriele Peters
CORR
2007
Springer
138views Education» more  CORR 2007»
13 years 7 months ago
Algebraic Distributed Space-Time Codes with Low ML Decoding Complexity
— ”Extended Clifford algebras” are introduced as a means to obtain low ML decoding complexity space-time block codes. Using left regular matrix representations of two speci...
G. Susinder Rajan, B. Sundar Rajan
ICASSP
2011
IEEE
12 years 11 months ago
Video thumbnail extraction using video time density function and independent component analysis mixture model
In this paper, we propose a new vector quantization method to create video thumbnail. In particular, we employ video time density function (VTDF) to explore the temporal character...
Junfeng Jiang, Xiao-Ping Zhang
CBMS
2009
IEEE
13 years 11 months ago
A medical image retrieval framework in correlation enhanced visual concept feature space
This paper presents a medical image retrieval framework that uses visual concepts in a feature space employing statistical models built using a probabilistic multi-class support v...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...